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Intro to Seaborn

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Categorical Scatter Plot

3:04 with AJ Tran

In our previous scatter plots and histograms, we tried to visualize the Attack data according to a categorical variable, 'Type'. Now we will make a strip plot, which is a series of scatter plots grouped by category.

What is the relationship between attack and type? 0:01
In our previous scatter plots and histograms we tried to visualize 0:03
the attack data according to a categorical variable type. 0:07
Seaborn has a family of categorical plots that will help us make better 0:12
visualizations. 0:17
Common categorical plots include strip plot, box plot and bar plot. 0:18
Let's start with making your categorical 0:24
scatterplot called the stripplot. 0:29
Sns.stripplot. 0:35
Data-pokemon, x=type, and y=attack. 0:38
So now we have a stripplot with all of our observations grouped by type. 0:46
But notice how the x axis labels are all smushed together. 0:51
Seaborn has two families of functions. 0:58
Stripplot is an axis level function. 0:59
In order to fix the x axis labels, 1:04
we'll have to use a different 1:09
family of function called figure 1:13
level functions sns.catplot, 1:18
kind='strip', Data=pokemon. 1:23
X=Type. 1:30
And y=Attack. 1:31
When I run, Shift+Enter and create this plot, 1:33
I'll get a similar looking plot where my x axis labels are all smushed together. 1:38
However, when I use catplot, 1:46
I have access to an additional parameter called aspect, 1:49
which will let me adjust the x axis labels. 1:54
Aspect=2. 1:59
There we go, now I have a categorical plot of the kind strip, the stripplot. 2:01
And I can see all of the distributions of my Pokemon's 2:07
attack statistics grouped by their types. 2:12
In this visualization, 2:16
we can observe that the dragon type Pokemon have the highest attack points. 2:18
While the normal type Pokemon have the largest spread of data. 2:23
So let's record these observations in a new mark down cell. 2:27
The Dragon types have the highest attack. 2:34
While the normal types, Have the largest spread of data. 2:43
These are just some observations that I'm recording. 2:53
Feel free to add more of your own. 2:56
Now, try practicing making your stripplot using the Pokemon's defense stat. 2:57